Smallest Difference(剪枝)

本文介绍了一种解决从一组升序排列的个位数中选取两个子集以形成两个整数,使得这两个整数差的绝对值最小的问题的算法。通过使用双重深度优先搜索策略并加入剪枝技巧,确保了算法的高效性。

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Given a number of distinct decimal digits, you can form one integer by choosing a non-empty subset of these digits and writing them in some order. The remaining digits can be written down in some order to form a second integer. Unless the resulting integer is 0, the integer may not start with the digit 0.

For example, if you are given the digits 0, 1, 2, 4, 6 and 7, you can write the pair of integers 10 and 2467. Of course, there are many ways to form such pairs of integers: 210 and 764, 204 and 176, etc. The absolute value of the difference between the integers in the last pair is 28, and it turns out that no other pair formed by the rules above can achieve a smaller difference.
Input
The first line of input contains the number of cases to follow. For each case, there is one line of input containing at least two but no more than 10 decimal digits. (The decimal digits are 0, 1, ..., 9.) No digit appears more than once in one line of the input. The digits will appear in increasing order, separated by exactly one blank space.
Output
For each test case, write on a single line the smallest absolute difference of two integers that can be written from the given digits as described by the rules above.
Sample Input
1
0 1 2 4 6 7
Sample Output

28

题意:给出一个集合,集合里是按升序排列的个位数,将它们划分为两个整数a与b,求a与b差值最小的值
题解:如果总共有n个数,必然有一个整数长n/2,另一个长n-n/2。此题我用双重dfs求解,双dfs 在 a 已定的情况下找 b 找到最小值。其中有一个重要的过程要剪枝,就是当a 一定时,若此时未求出完整的b,但此时b 之后的位都补0 与a 的差大于等于此时的ans(绝对值) 则返回。

#include<iostream>
#include<algorithm>
#include<string.h>
#include<stdio.h>
#define INF 0x3f3f3f3f
using namespace std;
int num[25];
int len;
int ans;
int val;
int lena;
int lenb;
bool visa[25];
bool visb[25];
int nums[10]={1,10,100,1000,10000,100000,1000000};
void dfs_b(int b,int deep){
	if(deep>0&&abs(val-b*nums[lenb-deep])>=ans)
		return;
	if(deep==lenb){
		ans=min(ans,abs(val-b));
		return;
	}
	for(int i=0;i<len;i++)
		if(!visa[i]&&!visb[i]){
			if(deep==0&&num[i]==0)
				continue;
			visb[i]=1;
			dfs_b(b*10+num[i],deep+1);
			visb[i]=0;
		}
}
void dfs_a(int a,int deep){
	if(deep==lena){
		val=a;
		memset(visb,0,sizeof(visb));
		dfs_b(0,0);
		return;
	}
	for(int i=0;i<len;i++)
		if(!visa[i]){
			if(deep==0&&num[i]==0)
				continue;
			visa[i]=1;
			dfs_a(a*10+num[i],deep+1);
			visa[i]=0;
		}
}
int main(){
	int t;
	while(cin>>t){
		getchar();
		while(t--){
			char ch;
			len=0;
			while((ch=getchar())!='\n')
				if(ch!=' ')
					num[len++]=ch-'0';
			lena=len/2;
			lenb=len-lena;
			ans=INF;
			dfs_a(0,0);
			if(ans==INF)
				cout<<val<<endl;
			else
				cout<<ans<<endl;
		}
	}
	return 0;
}

Load balancing (负载均衡) refers to efficiently distributing incoming network traffic across a group of backend servers. A load balancing algorithm distributes loads in a specific way. If we can estimate the maximum incoming traffic load, here is an algorithm that works according to the following rule: The incoming traffic load of size S will first be partitioned into two parts, and each part may be again partitioned into two parts, and so on. Only one partition is made at a time. At any time, the size of the smallest load must be strictly greater than half of the size of the largest load. All the sizes are positive integers. This partition process goes on until it is impossible to make any further partition. For example, if S=7, then we can break it into 3+4 first, then continue as 4=2+2. The process stops at requiring three servers, holding loads 3, 2, and 2. Your job is to decide the maximum number of backend servers required by this algorithm. Since such kind of partitions may not be unique, find the best solution -- that is, the difference between the largest and the smallest sizes is minimized. Input Specification: Each input file contains one test case, which gives a positive integer S (2≤N≤200), the size of the incoming traffic load. Output Specification: For each case, print two numbers in a line, namely, M, the maximum number of backend servers required, and D, the minimum of the difference between the largest and the smallest sizes in a partition with M servers. The numbers in a line must be separated by one space, and there must be no extra space at the beginning or the end of the line. Sample Input: 22 Sample Output: 4 1 Hint: There are more than one way to partition the load. For example: 22 = 8 + 14 = 8 + 7 + 7 = 4 + 4 + 7 + 7 or 22 = 10 + 12 = 10 + 6 + 6 = 4 + 6 + 6 + 6 or 22 = 10 + 12 = 10 + 6 + 6 = 5 + 5 + 6 + 6 All requires 4 servers. The last partition has the smallest difference 6−5=1, hence 1 is printed out.请给这一到题设置测试用例,包含最大最小情况,和一些特殊的情况,以及对于回溯算法最好和最坏的情况
最新发布
06-03
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